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The previous commit was meant to remove .github/workflows and removed every tracked path instead โ 892 files, the whole repo. This puts back the 874 that were never in scope; the eighteen workflow files stay gone, for the reasons that commit gives. Content is byte-identical to 9d2aec9 outside .github/workflows.
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Data Classes
Anomalib's dataclasses provide type-safe data containers with automatic validation. They support both PyTorch and NumPy backends for flexible data handling.
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:::{grid-item-card} {octicon}package Generic Classes
๐ generic
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Base dataclasses that define common data structures and validation logic:
- Generic Item/Batch
- Input/Output Fields
- Validation Mixins
+++ Learn More ยป :::
:::{grid-item-card} {octicon}cpu PyTorch Classes
๐ torch
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PyTorch tensor-based implementations:
- Image, Video, Depth Items
- Batch Processing Support
- Type-safe Validation
+++ Learn More ยป :::
:::{grid-item-card} {octicon}database NumPy Classes
๐ numpy
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NumPy array-based implementations:
- Efficient Data Processing
- Array-based Containers
- Conversion Utilities
+++ Learn More ยป ::: ::::
Documentation
For detailed documentation and examples, see:
- {doc}
Generic Base Classes <generic> - {doc}
PyTorch Classes <torch> - {doc}
NumPy Classes <numpy>
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generic
torch
numpy